Pregled bibliografske jedinice broj: 930869
Developing ANN Model for the Prediction of Comfort-related Indicator Based on Yarn Parameters
Developing ANN Model for the Prediction of Comfort-related Indicator Based on Yarn Parameters // Zbornik radova 11. znanstveno-stručnog savjetovanja Tekstilna znanost i gospodarstvo / Ercegović Ražić, Sanja ; Glogar, Martinia Ira ; Novak, Ivan (ur.).
Zagreb: Tekstilno-tehnološki fakultet Sveučilišta u Zagrebu, 2018. str. 40-43 (poster, domaća recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 930869 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Developing ANN Model for the Prediction of Comfort-related Indicator Based on Yarn Parameters
Autori
Majumdar, Abhijit ; Salopek Čubrić, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Zbornik radova 11. znanstveno-stručnog savjetovanja Tekstilna znanost i gospodarstvo
/ Ercegović Ražić, Sanja ; Glogar, Martinia Ira ; Novak, Ivan - Zagreb : Tekstilno-tehnološki fakultet Sveučilišta u Zagrebu, 2018, 40-43
Skup
11. znanstveno-stručno savjetovanje Tekstilna znanost i gospodarstvo
Mjesto i datum
Zagreb, Hrvatska, 24.01.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Domaća recenzija
Ključne riječi
yarn, polyester, cotton, modelling, ANN, sweating
Sažetak
The presented research focuses on knitted fabrics produced of cotton and polyester yarns in different compositions. The IR thermographic method is used to capture the duration of the wetness period after simulated intensive sweating. The dataset is further used for the ANN modelling. It was shown that all the ANN predicted values are very close to the corresponding actual value. Moreover, the absolute error was less than 4% in all the samples and the correlation coefficient between the actual and predicted values was 0.99. Therefore, the ANN is able to capture the relationship between the observed input and output parameters.
Izvorni jezik
Engleski
